iPhone 12 Pro Max
Geekbench AI Score
2605
Single Precision Score
4639
Half Precision Score
3870
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 03:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
2025
376.5 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2181
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4821
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
10410
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9324
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.3 IPS |
|
|
Object Detection (HP)
|
97% |
2229
177.4 IPS |
|
|
Object Detection (Q)
|
94% |
1633
130.1 IPS |
|
|
Face Detection (SP)
|
100% |
2463
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2638
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4509
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8882
68.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6395
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12545
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20961
26.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18232
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4026
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3154
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4193
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4155
71.8 IPS |
